agents‚ they serve to shape social norms‚ values‚ and individuals’ perceptions of themselves. Unfortunately the messages sent and received through media about prescriptions for women’s appearance are not often positive or constructive. The ideal image of women shown in movies‚ television‚ and magazines has become increasingly thinner …” (Choma‚ Foster‚ Radford). Since the media portrays the perfect woman as flawless creatures that everyone adores‚ they feel forced to duplicate the projected body
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imperative role in their advertising to promote impossible standards of beauty in society. Many studies have been done to show the effects of the media on beauty image for women. These studies show the effect of media on women today by noting the increasing rate of plastic surgery and how the media negatively affect the woman’s self-image. In 2008 a report that was prepared by the Young Woman’s Christian Association (YWCA) titled “Beauty at Any Cost‚” the report stated that the beauty industry is
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The ideal body image for young women is dictated by society. Over the past years‚ the media has influenced young women to think about themselves in a competitive way‚ among other young women. The debate whether media‚ compared to parental influence‚ is the major factor contributing to an adolescent female’s body image has been widely debated in our community. This controversial debate has led to the idea of whether media or parental influence are positively or negatively affecting young women’s
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Image Retrieval Based on Color and Texture Feature Using Artificial Neural Network Syed Sajjad Hussain#1‚ Manzoor Hashmani#2‚ Muhammad Moin uddin#3 # Faculty of Engineering‚ Sciences and Technology‚ IQRA University‚ Karachi 1 engr.sajjadrizvi@yahoo.com‚ 2mhashmani@yahoo.com‚ 3mmoin73@yahoo.com Abstract. Content-based image retrieval CBIR is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information
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Photography has been seen as lightweight end of photography due to it`s close relationship to the fashion industry‚ which is dependent on fast turnover; transitory‚ commercial Fashion advertisement in particular is seen as denying the purity of the image → shows the typical‚ stylised instead of the unique moment/event; has nothing artistic (stylised fashion shoot‚ controlled‚ created‚ unnatural‚ uniform and monotone‚ all are essentially the same in their aim to sell clothes) captured moment in “real”
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A PROJECT REPORT ON “FINGERPRINT RECOGNITION AND IMAGE ENHANCEMENT USING MATLAB” Submitted in partial fulfillment Of the requirements for the award of the degree in BACHELOR OF TECHNOLOGY IN APPLIED ELECTRONICS AND INSTRUMENTATION ENGINEERING SUBMITTED BY: SHAKTI ABHISHEK- 0803112 SATISH GOYAL - 0803064 ROHIT DASH - 0803086 MD. IRFAN ARIF RAHMAN - 0803117 [pic] DEPARTMENT OF APPLIED ELECTRONICS AND INSTRUMENTATION ENGINEERING GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY Biju Patnaik University
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Social Media Effects on Females Body Image Does Social media really impact the way females see their body? Strong evidence supports that social media has a horrifying impact on female body image. In many cases‚ some would go as far as committing suicide‚ because they are not content with the way they look. Because females compare themselves to models and celebrities that is shown on social media‚ it is clear that there is a distortion from what is real and what is fake. They consider that if they
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INTELLIGENT TRANSPORTATION SYSTEMS‚ VOL. 9‚ NO. 3‚ SEPTEMBER 2008 377 License Plate Recognition From Still Images and Video Sequences: A Survey Christos-Nikolaos E. Anagnostopoulos‚ Member‚ IEEE‚ Ioannis E. Anagnostopoulos‚ Member‚ IEEE‚ Ioannis D. Psoroulas‚ Vassili Loumos‚ Member‚ IEEE‚ and Eleftherios Kayafas‚ Member‚ IEEE Abstract—License plate recognition (LPR) algorithms in images or videos are generally composed of the following three processing steps: 1) extraction of a license plate
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Filter for Noise Removal in Digital Images James C. Church‚ Yixin Chen‚ and Stephen V. Rice Department of Computer and Information Science‚ University of Mississippi {jcchurch‚ychen‚rice}@cs.olemiss.edu Abstract In this paper‚ six different image filtering algorithms are compared based on their ability to reconstruct noiseaffected images. The purpose of these algorithms is to remove noise from a signal that might occur through the transmission of an image. A new algorithm‚ the Spatial Median
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“EXTRACTION AND QUANTIFICATION OF BRAIN TUMOR FROM MRI IMAGE” CHAPTER 1 INTRODUCTION 1.1 GENERAL: The principle task of our project is to recognize a tumor and its quantifications from a particular MRI scan of a brain image using digital image processing techniques and compute the area of the tumor by fully automated process. In medical imaging‚ segmentation of images plays a vital role in stages which occur before implementing object recognition
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